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Data Release: "A parameter-free tour of the binary black hole population"

<p>This dataset contains the results presented in&nbsp;&quot;<strong>A parameter-free tour of the binary black hole population</strong>&quot; (<a href="http://arxiv.org/abs/2302.07289">arXiv:2302.07289</a>).</p> <p>The code used to generate this data can be found in the&nbsp;repository&nbsp;<a href="https://github.com/tcallister/autoregressive-bbh-inference/">https://github.com/tcallister/autoregressive-bbh-inference/</a>. This repository includes <a href="https://github.com/tcallister/autoregressive-bbh-inference/tree/main/data">jupyter notebooks</a> that can be used to open, explore, and plot the files contained in this data set. Additional information about reproducing and/or using this dataset can be found in&nbsp;<a href="https://tcallister.github.io/autoregressive-bbh-inference/">our associated documentation</a>.</p> <p>Further notes:</p> <ul> <li>The files&nbsp;<em>sampleDict_FAR_1_in_1_yr.pickle</em>&nbsp;and&nbsp;<em>injectionDict_FAR_1_in_1.pickle</em>, used as inputs to our analyses, are created via code in the repository&nbsp;<a href="https://github.com/tcallister/get-lvk-data">https://github.com/tcallister/get-lvk-data</a>&nbsp;(see also&nbsp;<a href="https://zenodo.org/record/6505409">https://zenodo.org/record/6505409</a>).</li> <li>The files&nbsp;<em>posteriors_gaussian_spin_samples_FAR_1_in_1.json</em>&nbsp;and <em>o1o2o3_mass_c_iid_mag_iid_tilt_powerlaw_redshift_result.json</em>, used for figure generation, were published by the LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration in support of the paper &quot;<a href="https://arxiv.org/abs/2111.03634">The population of merging compact binaries inferred using gravitational waves through GWTC-3</a>&quot; (see&nbsp;<a href="https://zenodo.org/record/5655785">https://zenodo.org/record/5655785</a>).</li> </ul> <p><em>New in this version:&nbsp;</em>This version (Version 3) contains the the newest&nbsp;results generated in the first round of journal referee review and reflected in v2 of the arXiv listing. Includes re-run of all analyses&nbsp;with updated priors,&nbsp;and new results from the injection&nbsp;study discussed&nbsp;in Appendix C.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4